1 citations · 1 across the 2 of their papers we have counts for
3 papers
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan +2
Feed-forward only convolutional neural networks (CNNs) may ignore intrinsic relationships and potential benefits of feedback connections in vision tasks such as saliency detection,…
Object Detection in Satellite Imagery using 2-Step Convolutional Neural Networks
Hiroki Miyamoto, Kazuki Uehara, Masahiro Murakawa +4
This paper presents an efficient object detection method from satellite imagery. Among a number of machine learning algorithms, we proposed a combination of two convolutional neura…
Object Detection of Satellite Images Using Multi-Channel Higher-order Local Autocorrelation
Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato +3
The Earth observation satellites have been monitoring the earth's surface for a long time, and the images taken by the satellites contain large amounts of valuable data. However, i…